Presentation given by Elliot Turner at Watson DevCon 2016.
Finding actionable insights in the ever-growing volume of public and private data is an increasingly complex challenge. The problem is compounded when much of the available data is unstructured. In this session, you’ll see the current state and a glimpse into the future of Watson’s tools for data insights, and you’ll learn how these services can help you make sense of unstructured data, improve business intelligence, eliminate risk, and take action.
Highlighting the value of Watson Equipment Advisor: Enables connectivity & data collection from a myriad of devices, sensors and equipment; Provides early warning for operational issues, impending failure \ breakage; Mines maintenance logs, equipment manuals, technician unstructured data to assist with diagnostics via an interactive dialog to make repair recommendations with the highest probability of success including parts and tooling; Constantly evaluate its current operating performance looking for alternate settings or operations to improve throughput, quality and availability. - Jay Di Silvestri, IBM Watson Cognitive Solutions Technical Lead
Watson DevCon 2016 - From Jeopardy! to the FutureIBM Watson
Spotlight talk given by Eric Brown and Rob High at Watson DevCon 2016.
Since the beginning of the computer age, scientists have been working to improve the ways computers understand us, reason through problems, and essentially ‘think’— ideas that represent the heart of artificial intelligence. In 2011, IBM took a giant leap forward with Watson, a cognitive computing technology that could answer Jeopardy! questions with the same level of skill as a human grand champion. Since then, Watson’s capacity to understand, interact, reason, and learn has grown exponentially. Here’s an insider's look at the origin of Watson— and its future.
A brief overview of Watson Cognitive solutions and an introduction into how they can be incorporated into the oil & gas arena. Dave Haake, Global C&P Solutions Executive, IBM Watson
The Other 99% of a Data Science ProjectEugene Mandel
Slides from my talk at Open Data Science Conference 2016.
Algorithms and models are an important (and cool) part of data science. This talk is about all the other steps that it takes to deploy a data science project that makes a product slightly smarter. Stuff that you hear from practitioners, but is not covered well enough in books.
Machine Learning & IT Service Intelligence for the Enterprise: The Future is ...Precisely
Enterprises with mainframes and Cloud/server architectures face unique issues and challenges and if your enterprise delivers a service whose operation spans mainframe and distributed and/or Cloud infrastructures (e.g. a mobile banking/customer app), this webinar is for you.
See how you can gain unique business and service-relevant context using your own machine data, including that from your z/OS mainframe. Implicitly learn patterns, eliminate costly false alerts, identify anomalies, and baseline normal operations by employing advanced analytics driven by machine learning. You’ll also see and learn about:
• Accelerating root-cause analysis and getting ahead of customer-impacting outages and slow-downs for your service
• “Glass Table” view for clickable visualization of the entire service-relevant infrastructure
• Machine Learning in IT Service Intelligence
• The Machine Learning Toolkit available today
AI today and its power to transform healthcareBonnie Cheuk
[Dr Bonnie Cheuk's Presentation at Digital Leadership Forum, 1 Apr 2021] AI sounds so magical. What exactly is AI? How humans learn and how data-driven AI Machines learn differ greatly. We need to set the right expectation as to what AI can do and create value. In this 20-min presentation, Bonnie shared a few (surprising) examples how AI has been applied in the business. You will learn that AI requires us to understand the future of work requires humans and machines to collaborate as diverse team members. Humans need to build learning agility to ensure we trust and learn to challenge AI solutions at the same time. Learning agility is defined as 5 work habits to empower humans to continuously learn and unlearn as we carry out our day-to-day work and life. AI requires us to focus on human experience, and be human centric. Learn more about my thinking on https://sense-making.org/bonniecheuk/ or https://sense-making.org/videos-audio-lectures/
Brief History of IBM Watson
Data and some figures
Watson and transformational technologies
How Watson have improve to became smarter, faster and more scalable
Highlighting the value of Watson Equipment Advisor: Enables connectivity & data collection from a myriad of devices, sensors and equipment; Provides early warning for operational issues, impending failure \ breakage; Mines maintenance logs, equipment manuals, technician unstructured data to assist with diagnostics via an interactive dialog to make repair recommendations with the highest probability of success including parts and tooling; Constantly evaluate its current operating performance looking for alternate settings or operations to improve throughput, quality and availability. - Jay Di Silvestri, IBM Watson Cognitive Solutions Technical Lead
Watson DevCon 2016 - From Jeopardy! to the FutureIBM Watson
Spotlight talk given by Eric Brown and Rob High at Watson DevCon 2016.
Since the beginning of the computer age, scientists have been working to improve the ways computers understand us, reason through problems, and essentially ‘think’— ideas that represent the heart of artificial intelligence. In 2011, IBM took a giant leap forward with Watson, a cognitive computing technology that could answer Jeopardy! questions with the same level of skill as a human grand champion. Since then, Watson’s capacity to understand, interact, reason, and learn has grown exponentially. Here’s an insider's look at the origin of Watson— and its future.
A brief overview of Watson Cognitive solutions and an introduction into how they can be incorporated into the oil & gas arena. Dave Haake, Global C&P Solutions Executive, IBM Watson
The Other 99% of a Data Science ProjectEugene Mandel
Slides from my talk at Open Data Science Conference 2016.
Algorithms and models are an important (and cool) part of data science. This talk is about all the other steps that it takes to deploy a data science project that makes a product slightly smarter. Stuff that you hear from practitioners, but is not covered well enough in books.
Machine Learning & IT Service Intelligence for the Enterprise: The Future is ...Precisely
Enterprises with mainframes and Cloud/server architectures face unique issues and challenges and if your enterprise delivers a service whose operation spans mainframe and distributed and/or Cloud infrastructures (e.g. a mobile banking/customer app), this webinar is for you.
See how you can gain unique business and service-relevant context using your own machine data, including that from your z/OS mainframe. Implicitly learn patterns, eliminate costly false alerts, identify anomalies, and baseline normal operations by employing advanced analytics driven by machine learning. You’ll also see and learn about:
• Accelerating root-cause analysis and getting ahead of customer-impacting outages and slow-downs for your service
• “Glass Table” view for clickable visualization of the entire service-relevant infrastructure
• Machine Learning in IT Service Intelligence
• The Machine Learning Toolkit available today
AI today and its power to transform healthcareBonnie Cheuk
[Dr Bonnie Cheuk's Presentation at Digital Leadership Forum, 1 Apr 2021] AI sounds so magical. What exactly is AI? How humans learn and how data-driven AI Machines learn differ greatly. We need to set the right expectation as to what AI can do and create value. In this 20-min presentation, Bonnie shared a few (surprising) examples how AI has been applied in the business. You will learn that AI requires us to understand the future of work requires humans and machines to collaborate as diverse team members. Humans need to build learning agility to ensure we trust and learn to challenge AI solutions at the same time. Learning agility is defined as 5 work habits to empower humans to continuously learn and unlearn as we carry out our day-to-day work and life. AI requires us to focus on human experience, and be human centric. Learn more about my thinking on https://sense-making.org/bonniecheuk/ or https://sense-making.org/videos-audio-lectures/
Brief History of IBM Watson
Data and some figures
Watson and transformational technologies
How Watson have improve to became smarter, faster and more scalable
A modified version of IBM Watson Analytics presentation. It covers its development, history, how it works and screen shot of IBM Watson Analytics Application. The presentation included a sample of a Food Production Index of the Philippines from 1999 to 2013 Analytics presentation conducted at Asia Pacific College, Manila, Philippines. The report was used in Advance Emerging Technology class at the University of the East, Manila, Philippines.
Artificial Intelligence, Predictive Modelling and Chatbots: Applications in P...Nick Brown
Presentation by Hari Radhakrishnan (senior solution developer) and Josh Mesout (graduate developer), in my team at Deep Learning Summit in London on September 23rd 2016. Brief overview about how we have been exploring artificial intelligence and how predictive modelling has the potential to revolutionise what we do across the drug discovery and development process. Examples include recent exploratory work on AI chatbots and video facial sentiment detection.
Choosing the Right Document Processing Solution for Healthcare OrganizationsProvectus
Looking to automate document processing in your healthcare organization? Learn from Provectus & AWS experts how to make data capture, conversion, and analytics more efficient. Process and manage documents faster and on a larger scale with AI & Machine Learning.
In this presentation, we offer management and engineering perspectives on document processing with AI, to help you explore available options. Whether you are looking for a ready-made solution or plan to build a custom solution of your own, this webinar will help you find the best fit for your healthcare use cases.
This is a webinar for MicroPanel, a panel management solution created by SurveyAnalytics. If interested please click on the link to listen view the webinar and let us know if you have further questions. http://bcove.me/a8j5rugv.
Intro to Data Science for Non-Data ScientistsSri Ambati
Erin LeDell and Chen Huang's presentations from the Intro to Data Science for Non-Data Scientists Meetup at H2O HQ on 08.20.15
- Powered by the open source machine learning software H2O.ai. Contributors welcome at: https://github.com/h2oai
- To view videos on H2O open source machine learning software, go to: https://www.youtube.com/user/0xdata
IBM Watson Question-Answering System and Cognitive ComputingRakuten Group, Inc.
IBM's vision of cognitive computing has been steadily embraced across the industries since IBM's Watson question-answering system made a sensational debut at the US Jeopardy! television quiz show in 2011. As a core member of the Watson project, I would like to share the excitement of the project and the last five and a half year of its progress into the cognitive business. In this talk, I will also give a technical overview of Watson, major use cases, and perspectives on the future of cognitive computing.
https://tech.rakuten.co.jp/
Sensors For The Lab & For Manufacturing: Early Adventures in IoTNick Brown
Marc Harrigan (senior business analyst) from my team presented at IoT World Dublin on November 21st 2016. He talks about our approach to understanding how IoT and sensors are changing our business, how it fits with our work in the Tech Labs for validating and prototyping emerging technologies. He also shares how it is an key enabler for future areas in machine learning and predictive analytics for pharmaceutical research, development and manufacturing.
Embracing Cloud Deployment for Big Data and Dev OpsNick Brown
Presentation by Steve Woodward, cloud solution engineer in my team at Cloud & DevOps World in London on June 22nd 2016. Overview about how we architect our cloud solutions using emerging technologies with elastic scaling, docker containers and novel services that our customers can use quickly - from sensors & streaming lab data, to predictive modelling and artificial intelligence.
Experfy.com - This Big Data training gives one the background necessary to start doing analyst work on Big Data. It covers - areas like Big Data basics, Hadoop basics and tools like Hive and Pig - which allows one to load large data sets on Hadoop and start playing around with SQL Like queries over it using Hive and do analysis and Data Wrangling work with Pig.
The Big Data online course also teaches Machine Learning Basics and Data Science using R and also covers Mahout briefly - a Recommendation, Clustering Engine on Large data sets. The course includes hands-on exercises with Hadoop, Hive , Pig and R with some examples of using R to do Machine Learning and Data Science work
See more at: https://www.experfy.com/training/courses/big-data-analyst
Presentation by Mike Jones (Lab Automation Assoc. Director) seconded into my team at the SmartLab Exchange Europe conference in Berlin on 8th February (https://smartlabexchangeeurope.iqpc.co.uk/). Brief overview about the future of scientific labs and how digital transformations are changing our approach to data capture, advanced analytics and collaboration across different scientific teams. Examples include exploratory work in augmented reality, next generation interaction, smart touch interfaces and sensor technologies.
Applications of Data Science in Microsoft Cloud ProductsLisa Cohen
Data Science and Machine Learning are fascinating fields. It’s amazing to envision the future of Artificial Intelligence. But it’s also equally amazing to explore the applications. Modeling the domain such that a machine learning algorithm can be applied is half the challenge. And coming up with new ideas for how the business can leverage data science requires great creativity. In this talk, we'll review the various ways that Microsoft Azure has leveraged analytics, experimentation and machine learning to help customers be successful on the cloud. We’ll cover examples of recommender models, customer lifetime value, churn prediction, anomaly detection, and more.
Application Developer Predictions 2017 - It's All About CognitiveIBM Watson
Watch the video recording: https://youtu.be/NmlM1SdYFFo
You’ve heard the buzz around cognitive technologies. You may have even experimented with them on your own, but you’re not sure how they fit in your app development toolbox. Sound familiar?
Don’t let another year pass without unlocking the true potential in your unstructured text, speech, images, and more. In this webinar, James Governor of Redmonk and Marcus Boone of Watson will share their predictions for what will be hot (and not) when it comes to application development in 2017. From massive data growth to conversational commerce and beyond, learn why cognitive app development is poised to accelerate in 2017 and how Watson cognitive APIs can help you successfully build your own breakthrough cognitive app.
Watson DevCon 2016: Myca - My Career Advisor: Providing Individualized Career...IBM Watson
Cognitive computing can be used to advise users on topics as diverse as wine selection to wedding style, and now, career advice. Myca, the cognitive career advisor, interviews users, understands their needs, and provides instant, personalized career advice, from job opportunities to learning recommendations, mentoring options, and more. View the app in action, and learn how this team of developers used Watson cognitive APIs to take it from idea to functional demo in just 20 days!
A modified version of IBM Watson Analytics presentation. It covers its development, history, how it works and screen shot of IBM Watson Analytics Application. The presentation included a sample of a Food Production Index of the Philippines from 1999 to 2013 Analytics presentation conducted at Asia Pacific College, Manila, Philippines. The report was used in Advance Emerging Technology class at the University of the East, Manila, Philippines.
Artificial Intelligence, Predictive Modelling and Chatbots: Applications in P...Nick Brown
Presentation by Hari Radhakrishnan (senior solution developer) and Josh Mesout (graduate developer), in my team at Deep Learning Summit in London on September 23rd 2016. Brief overview about how we have been exploring artificial intelligence and how predictive modelling has the potential to revolutionise what we do across the drug discovery and development process. Examples include recent exploratory work on AI chatbots and video facial sentiment detection.
Choosing the Right Document Processing Solution for Healthcare OrganizationsProvectus
Looking to automate document processing in your healthcare organization? Learn from Provectus & AWS experts how to make data capture, conversion, and analytics more efficient. Process and manage documents faster and on a larger scale with AI & Machine Learning.
In this presentation, we offer management and engineering perspectives on document processing with AI, to help you explore available options. Whether you are looking for a ready-made solution or plan to build a custom solution of your own, this webinar will help you find the best fit for your healthcare use cases.
This is a webinar for MicroPanel, a panel management solution created by SurveyAnalytics. If interested please click on the link to listen view the webinar and let us know if you have further questions. http://bcove.me/a8j5rugv.
Intro to Data Science for Non-Data ScientistsSri Ambati
Erin LeDell and Chen Huang's presentations from the Intro to Data Science for Non-Data Scientists Meetup at H2O HQ on 08.20.15
- Powered by the open source machine learning software H2O.ai. Contributors welcome at: https://github.com/h2oai
- To view videos on H2O open source machine learning software, go to: https://www.youtube.com/user/0xdata
IBM Watson Question-Answering System and Cognitive ComputingRakuten Group, Inc.
IBM's vision of cognitive computing has been steadily embraced across the industries since IBM's Watson question-answering system made a sensational debut at the US Jeopardy! television quiz show in 2011. As a core member of the Watson project, I would like to share the excitement of the project and the last five and a half year of its progress into the cognitive business. In this talk, I will also give a technical overview of Watson, major use cases, and perspectives on the future of cognitive computing.
https://tech.rakuten.co.jp/
Sensors For The Lab & For Manufacturing: Early Adventures in IoTNick Brown
Marc Harrigan (senior business analyst) from my team presented at IoT World Dublin on November 21st 2016. He talks about our approach to understanding how IoT and sensors are changing our business, how it fits with our work in the Tech Labs for validating and prototyping emerging technologies. He also shares how it is an key enabler for future areas in machine learning and predictive analytics for pharmaceutical research, development and manufacturing.
Embracing Cloud Deployment for Big Data and Dev OpsNick Brown
Presentation by Steve Woodward, cloud solution engineer in my team at Cloud & DevOps World in London on June 22nd 2016. Overview about how we architect our cloud solutions using emerging technologies with elastic scaling, docker containers and novel services that our customers can use quickly - from sensors & streaming lab data, to predictive modelling and artificial intelligence.
Experfy.com - This Big Data training gives one the background necessary to start doing analyst work on Big Data. It covers - areas like Big Data basics, Hadoop basics and tools like Hive and Pig - which allows one to load large data sets on Hadoop and start playing around with SQL Like queries over it using Hive and do analysis and Data Wrangling work with Pig.
The Big Data online course also teaches Machine Learning Basics and Data Science using R and also covers Mahout briefly - a Recommendation, Clustering Engine on Large data sets. The course includes hands-on exercises with Hadoop, Hive , Pig and R with some examples of using R to do Machine Learning and Data Science work
See more at: https://www.experfy.com/training/courses/big-data-analyst
Presentation by Mike Jones (Lab Automation Assoc. Director) seconded into my team at the SmartLab Exchange Europe conference in Berlin on 8th February (https://smartlabexchangeeurope.iqpc.co.uk/). Brief overview about the future of scientific labs and how digital transformations are changing our approach to data capture, advanced analytics and collaboration across different scientific teams. Examples include exploratory work in augmented reality, next generation interaction, smart touch interfaces and sensor technologies.
Applications of Data Science in Microsoft Cloud ProductsLisa Cohen
Data Science and Machine Learning are fascinating fields. It’s amazing to envision the future of Artificial Intelligence. But it’s also equally amazing to explore the applications. Modeling the domain such that a machine learning algorithm can be applied is half the challenge. And coming up with new ideas for how the business can leverage data science requires great creativity. In this talk, we'll review the various ways that Microsoft Azure has leveraged analytics, experimentation and machine learning to help customers be successful on the cloud. We’ll cover examples of recommender models, customer lifetime value, churn prediction, anomaly detection, and more.
Application Developer Predictions 2017 - It's All About CognitiveIBM Watson
Watch the video recording: https://youtu.be/NmlM1SdYFFo
You’ve heard the buzz around cognitive technologies. You may have even experimented with them on your own, but you’re not sure how they fit in your app development toolbox. Sound familiar?
Don’t let another year pass without unlocking the true potential in your unstructured text, speech, images, and more. In this webinar, James Governor of Redmonk and Marcus Boone of Watson will share their predictions for what will be hot (and not) when it comes to application development in 2017. From massive data growth to conversational commerce and beyond, learn why cognitive app development is poised to accelerate in 2017 and how Watson cognitive APIs can help you successfully build your own breakthrough cognitive app.
Watson DevCon 2016: Myca - My Career Advisor: Providing Individualized Career...IBM Watson
Cognitive computing can be used to advise users on topics as diverse as wine selection to wedding style, and now, career advice. Myca, the cognitive career advisor, interviews users, understands their needs, and provides instant, personalized career advice, from job opportunities to learning recommendations, mentoring options, and more. View the app in action, and learn how this team of developers used Watson cognitive APIs to take it from idea to functional demo in just 20 days!
Watson DevCon 2016 - Watson Beat: Making Music CognitiveIBM Watson
Presentation given by Janani Mukundan and Richard Daskas at Watson DevCon 2016.
As AI advances, scientists are pushing the boundaries of computational creativity. IBMers from Research are teaching Watson to compose original music based on human emotion. Using machine learning algorithms, the Researchers are teaching artificial neural networks to understand music theory, structure (pitch, time signature, key signature), and emotional intent to co-create music with a human partner. "Watson Beat" generates new and unique musical song combinations based on the beat played by the individual and the emotional tone the human chooses. Here’s how it works.
Watson DevCon 2016 - The Flu Fighters: Using IBM Cognitive Computing to Fight...IBM Watson
Presentation given by Jeff Goodhue and Dave Wakeman at Watson DevCon 2016.
Can cognitive technology really detect and track outbreaks using social media and save lives? Absolutely! The technology of Watson APIs, the Bluemix platform and IBM Operational Decision Manager can be combined into a powerful solution that uses Twitter data, natural language processing and situational awareness to detect patterns in social media to track disease and health outbreaks as they spread.
The real-time situation detection capabilities of the “Flu Fighters” solution can provide advanced warning to doctors, hospitals, clinics, pharmaceutical providers and others so that preventative measures can be taken to protect at-risk patients before the outbreak reaches their area. In this session you will learn how a prototype of such solution was developed using IBM Watson Services and IBM Bluemix.
Building with Watson - Advanced Integrations with Watson ConversationIBM Watson
Watson Conversation provides the engine for your chat bots, and it's most powerful when integrated with messaging and chat platforms. In this webinar, we'll talk about the best practices for connecting your Conversation setup with third-party interfaces, with a deep-dive into a Watson-powered Slack bot.
Watch the full webinar and view upcoming webinars here: http://www.ibm.com/watson/building-with-watson-webinar.html
Building with Watson - Serverless Chatbots with PubNub and ConversationIBM Watson
PubNub helps you manage your streaming data, and now it is easy to add Watson-powered machine intelligence to those streams with BLOCKS. In this Building with Watson webinar, Josh Marinacci, Head of Developer Relations at PubNub, demonstrates how he used the Watson Conversation PubNub BLOCK to build a geology themed chatbot, Mr. Rockbot.
Watson DevCon 2016 - Do More with Less Code: Enriched Communications with Twi...IBM Watson
Presentation given by Devarshi Shah at Watson DevCon 2016.
Watson add-ons pre-integrated with Twilio’s APIs allow developers to extract insights from SMS & Voice Calls. This session will discuss the future of composability, why Twilio decided to create a marketplace that opens our developer community to partnerships, and how their focus on the developer experience has built such a loyal following. Devarshi shares upcoming offerings and future plans to grow the marketplace.
Watson DevCon 2016: Why Audience Intelligence Requires a Modular AI ApproachIBM Watson
Presentation given by Francesco D'Orazio at Watson DevCon 2016.
Not all data is created equal. Different datasets, industries, audiences, and use cases require different techniques to make sense of the data and help craft insights beyond simple analytics. At Pulsar, we deal with complex and varied social and behavioral datasets that require a very diverse range of data mining techniques—and there’s only so much a single company can do to keep up with the level of specialism needed to make sense of it all.Pulsar has built a modular system for AI solutions. Integrating Watson has been essential in helping to support a wide range of research use cases – from image analysis to topic extraction and emotion analysis. Come explore different Watson-enabled use cases and hear plans for future integrations.
Highlighting how Refinery Advisor enhances decision making by oil & gas professionals by applying the organizations collective knowledge to large complex data sets, in context. -Scott Kimbleton, Associate Partner, Chemicals & Petroleum Global Business Services
Building Cognitive Applications with Watson APIs Dev_Events
Sandhya Kapoor, Senior Software Engineer, IBM @sandhyakapoor9
Frank Greco, Chairman, NYJavaSIG @frankgreco
The more we interact with “smart apps,” the more we hear the word cognitive being thrown around. But what does it actually imply? What is a cognitive application? Can you make your app cognitive? This session covers what these buzzwords mean and how to enhance your application with Watson APIs. The presenters build an application from scratch, using the Watson Java SDK, and discuss how to integrate Watson into your existing application.
IBM Watson overview presented by Mike Pointer, Watson Sr. Solution Architect, at Penn State's Nittany Watson Challenge Immersion event on January 19-20, 2017.
World of Watson 2016 - Artificial Intelligence ResearchKeith Redman
Have you ever noticed that all the movies made about the topic of Artificial Intelligence portray the doom of human kind and the hero or heroine’s success at averting it? Hopefully we never truly get to that point. However, if the inner geek in you is interested in checking out what IBM research is working on today, check out these sessions.
Watson DevCon 2016 - Engage and Be Engaging: Building Compassionate and Perso...IBM Watson
Presentation at Watson DevCon 2016, given by Rama Akkiraju.
Getting to know each other, tailoring our communication style, conversing with each other naturally — humans do this everyday. Now, with the advent of cognitive technologies, computers can, too. Find out how you can create apps that can engage and delight users with APIs that predict personality from writings, analyze linguistic tones from communications, and automate conversations. See firsthand how easy it can be to make digital interactions at massive scale personal and productive.
Le point de vente transformé (live du salon eCom 2016)Marco Brienza
Comment présenter une vision ambitieuse et réaliste du retail du futur? Une expérience entre mondes digital et physique désormais réunis, pour le meilleur et plus de valeur à chaque partie prenante (clients, retailers, fournisseurs).
En fin de document, nous avons souhaité vous laisser avec une mise en bouche. 3 startups travaillant d'arrache-pieds sur les innovations retail de demain, résumées par Eugen Schön, dénicheur de tendances:
- le path-to-purchase - ou parcours client - enfin décortiqué grâce aux caddies et paniers connectés: une innovation travaillée par Pulse.digital.
- le parcours client une nouvelle fois à l'honneur grâce à VisioSafe, startup installée à l'EPFL et qui opère un tracking efficace des shoppers par reconnaissance faciale.
- ShoeSize.me, une application permettant de connaître sa pointure de chaussure idéale, quelle que soit la marque.
En y regardant de plus près, l’histoire de Jonathan Livingston le goéland à de très nombreuses similitudes avec la vie des êtres humains.
Est-ce vraiment une histoire ?
Je vous laisse faire votre opinion sur le sujet.
Smart Data Webinar: Advances in Natural Language ProcessingDATAVERSITY
Natural language processing (NLP) - once on the frontier of AI as a research topic with maddeningly low accuracy - is rapidly becoming a requirement for mainstream consumer and enterprise applications. Today, one can build a system that allows natural language text or speech input without knowing much more than a few API specs.
In this webinar we will cover the basics of speech recognition, semantic analysis for text analysis, and recent advances in natural language generation. Participants will learn how modern approaches have gone beyond counting words with statistical models to predicting speech the way people fill in sentences with context while listening. We will also present examples of commercially available NLP APIs to help participants experiment with NLP in their own applications.
The Role Cognitive APIs Play in Transforming BusinessIBM Watson
Artificial intelligence (AI), machine learning, and over 50 technologies behind Watson cognitive computing are reshaping our human-computer interactions in business and in science. The application programming interface (API) economy has provided a means to access these new cognitive computing capabilities in highly flexible and consumable ways. Watson cognitive APIs are embedded into existing business systems and used in combinations to create lines of business once previously non-existent. Check out this upcoming webcast and join a Watson guru as he discusses how cognitive APIs are being applied for business value and transformation.
Featured Speaker
Rahul Singhal - Program Director for IBM Watson Developer Cloud
IBM Watson Explorer: Explore, analyze and interpret information for better bu...Virginia Fernandez
IBM Watson Explorer is a cognitive
exploration solution that combines search
and content analytics with unique cognitive
computing capabilities to help users find and
understand the information they need to
work more efficiently and make better, more
confident decisions.
Explore, analyze and interpret information for better business outcomes
IBM Watson Explorer is a cognitive exploration solution that combines search and content analytics with unique cognitive
computing capabilities to help users find and understand the information they need to work more efficiently and make better, more confident decisions.
To learn more about IBM Watson Explorer visit ibm.biz/watsonexplorer.
The Matrix Mapper (MM) - This is a product for which the Aarktech - KBCRF consortium is looking for any of several options to develop the product that would mirror the capabilities of the Analysts' Notebook (AN), an application created by i2, an IBM subsidiary, which cannot be sold anywhere outside the US and Russia and is subject to stringent US Export Control (EC) regulations.
The AN is the most sought after (but not readily available) tool, worldwide, by global businesses as also the crime fighting, counter terrorist, counter insurgency and financial intelligence agencies of numerous countries. It has the capability to integrate mountains of text, video, audio, graphic and image data and to employ Big Data Analytics, Semantics, Social Network Analysis (SNA) and Knowledge Discovery methods to delineate the existence, incidence, pattern and correlation of linkages in order to throw up actionable and predictive results.
The tsunami of data being generated globally threatens to submerge and seriously impair the interests of government agencies as well businesses worldwide unless powerful tools are available to intelligently comprehend diverse data types like alpha-numeric, voice, video and graphic; analyse these tidal waves of data; decipher patterns as well as connections and arrive at inferences and conclusions that provide a firm basis for next steps be they brick and mortar or in cyber space.
Matrix Mapper would serve as the ultimate tool for very large scale, cross platform, data collation, mining, comprehension, analysis, networking/ pattern identification and prediction/ direction determination using knowledge discovery methods. The Matrix Mapper would, thus, prove indispensable to businesses in sectors as diverse as mining, oil & gas, power (generation & distribution), airlines, land and water transport, shipping, chain stores, agriculture/ food distribution, warehousing, courier concerns, accounting, banking and insurance. Government agencies/ departments which would find Matrix Mapper to be a kind of force multiplier include the defence forces, police, forest conservation, counter terrorism units, municipalities, railways and a variety of Public Sector Undertakings.
IBM Watson Data Platform is an integrated platform of tools, services and data that helps companies accelerate their shift to become data-driven organizations. It is the IBM public cloud foundation designed to support the data and analytics vision of whole enterprises, delivering a fully integrated platform that sustains both analytical investigations and putting insights into active use in production at any scale. It delivers the user experiences that amplify the ability of every data professional to execute on that vision, allowing teams such as data scientists, developers and business analysts to work together across different languages and data models.
Faster business decisions and collaboration with Workplace SearchElasticsearch
With a dizzying array of productivity and collaboration tools available on the market, learning how to maximize their usefulness — and your investment in them — is paramount. A unified search experience across all those sources of content ensures that your teams consistently see and share the right docs and data. See how less time spent searching means more time spent strategizing.
Here’s your chance to get hands-on with Splunk for the first time! Bring your modern Mac, Windows, or Linux laptop and we’ll go through a simple install of Splunk. Then, we’ll load some sample data, and see Splunk in action – we’ll cover searching, pivot, reporting, alerting, and dashboard creation. At the end of this session you’ll have a hands-on understanding of the pieces that make up the Splunk Platform, how it works, and how it fits in the landscape of Big Data. You’ll experience practical examples that differentiate Splunk while demonstrating how to gain quick time to value.
World of Watson 2016 - Implementing data scienceKeith Redman
Wikipedia defines Data Science as an interdisciplinary field about processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured, which is a continuation of some of the data analysis fields such as statistics, machine learning, data mining, and predictive analytics… It then goes on to say Data Science is not to be confused with Information Science which is not to be confused with Library Science which is not to be confused with….. I think you get the point.
Are you confused about the benefits of Data Science, or have you embraced Data Science and are now struggling to enable your Scientists? Check out the sessions on Data Science and especially take a look at the new Data Science Experience.
Faster business decisions and collaboration with Elastic Workplace SearchElasticsearch
With a dizzying array of productivity and collaboration tools available on the market, learning how to maximize their usefulness — and your investment in them — is paramount. A unified search experience across all those sources of content ensures that your teams consistently see and share the right docs and data. See how less time spent searching means more time spent strategizing.
World of Watson 2016: Journey to Cognitive Excellence - Harness the Force of ...Julie Severance
Becoming a cognitive business is a journey, not a destination. A cognitive analytics culture is not something you can just buy or install. Although the right technology is crucial, its true value arises when the organizational mindset changes. Many organizations have learned to embrace analytics, but embracing cognitive is another step entirely, and it’s one that may be even more challenging. However, the possibilities are endless and the potential rewards make it worthwhile.
The new age big data technologies include predictive analytics, no SQL databases, search and knowledge discovery, stream analytics, in-memory data fabric, data virtualization and more.
Easily Deploy your Chat Bot to Multiple Channels with StamplayIBM Watson
Stamplay makes it easy to chain services and deploy to messaging platforms with little to no code. See how Watson Conversation can be quickly integrated into chat platforms such as Facebook Messenger and Slack.
Overview of Watson Cognitive Reservoir Analytics, highlighting how cognitive technologies are ready to address the challenges of the Oil & Gas industry and to transform practices in the industry, in face of data overload, new frontiers, workforce and skills shortage. -Renato Cerqueira, Sr. Research Manager and Technical Team, IBM Research Brazil
Get More From Your Messages with Twilio + Watson Add-OnsIBM Watson
In this Building with Watson webinar, learn how the Message Insights and Message Sentiment Add-ons, available from the Twilio marketplace, can streamline your mobile application building process. The natural language processing capabilities tied with the SMS messaging capabilities of Twilio make it easier than ever to understand input from your customers.
Webinar replay: http://event.on24.com/wcc/r/1264584/04021735338B41F7C4B212F898755C42
5 Reasons to Attend the Upcoming Watson Developer ConferenceIBM Watson
In the rapidly evolving world of technology, continuous learning, innovating and networking is essential for keeping up. At the upcoming Watson Developer Conference, discover new content, connect with industry experts and influence the future of this cognitive era, together. Hear from some of our featured external speakers who will share why they're excited for the November 9-10 conference in San Francisco.
Visit the conference website to learn more about the event: http://www.ibm.com/watson/developer-conference/index.html
Application Starter Kits for Developers - Building with WatsonIBM Watson
In this episode of Building with Watson, get a demonstration of two new Application Starter Kits, pre-built sample applications aimed at giving you a headstart on approaching specific business applications of Watson services.
Watch all of the Building with Watson sessions here: https://www.ibm.com/smarterplanet/us/en/ibmwatson/building-with-watson-webinar.html
Cognitive Business: Where digital business meets digital intelligenceIBM Watson
Ravesh Lala, Vice President, IBM Watson Solutions provided a high level overview of IBM Watson on Monday August 22, 2016 at the Electronics event in NY. Ravesh shared insights into what Watson is, and how organizations have leveraged the power of Watson to advance their place in the market.
What Does It Mean To Be A Cognitive CompanyIBM Watson
Steve Gold, IBM Watson CPO, shares education and insights on what it means to be a cognitive company. Also learn how you can take steps to lead your company into the cognitive era.
Custom Image Classifier with Visual Recognition: Building with Watson IBM Watson
In this Building with Watson presentation, learn how to train a classifier to identify images relevant to you and your company. View the on-demand version of the demonstration and listen to the Q&A with our Watson Vision engineers. http://www.ibm.com/watson/building-with-watson-webinar.html
Thank you for your interest in the recent NY Outthink breakfast on July 19th at the Rainbow Room. Presentations shared highlighted how cognitive computing is being applied today in a variety of business situations, in many industries, and across multiple business functions. See the presentation by Beth Smith for steps to becoming a cognitive business!
Thank you for your interest in the recent NY Outthink breakfast on July 19th at the Rainbow Room. Presentations shared highlighted how cognitive computing is being applied today in a variety of business situations, in many industries, and across multiple business functions. Presentation by Jason Kelley
How is Watson Changing the Future of the Automative Industry?IBM Watson
“How is Watson Changing the Future of the Automotive Industry?” presented in Livonia, MI. Event participants were introduced to the age of cognitive computing, where cognitive analytics evaluate complex data in new ways to help solve the industry's most challenging problems. Cognitive computing has arrived, and its potential to transform the industry is momentous. Learn how cognitive solutions are being applied in the automotive industry and how industry leaders are embracing this ground breaking technology to spark the digital future.
Building with Watson - Conversational Apps: What We've Learned and Where We'r...IBM Watson
Watch the webinar replay here: http://www.ibm.com/watson/building-with-watson-webinar.html
Watson has dedicated themselves to improving the technology available and the experience around building conversational applications. On this webinar, learn from developers who have worked with the services about the challenges involved in building a conversational application and get a look at some of the breakthroughs in conversation technology, that are removing the roadblocks in this process.
Building with Watson: Watson Developer Certification ProgramIBM Watson
Learn about IBM Watson's new certification program. This program is designed to help developers make it known that they are proficient in the Watson technologies. Hear from Richard Rodts about what the program will entail, and get all your questions answered.
Watch all of the prior and upcoming Building with Watson webinars here: https://www.ibm.com/smarterplanet/us/en/ibmwatson/building-with-watson-webinar.html
Building with Watson - Enhancing the Results of Your BI DashboardIBM Watson
Get a technical look at implementing a BI Dashboard for Social Media Monitoring results, complete with code examples for incorporating Watson Vision APIs and Twitter. View the on-demand version of the webinar and register for other Building with Watson Webinars: https://www.ibm.com/smarterplanet/us/en/ibmwatson/building-with-watson-webinar.html
Transforming Business with Cognitive APIs: What Innovative Business Strategie...IBM Watson
Watch the on-demand replay of the webcast here: https://www.youtube.com/watch?v=hIN1RjxOFTk
AI, machine learning and over 50 technologies behind Watson cognitive computing are ushering in a new era of technology that will reshape our human-computer interactions in business and in science. Join this Executive Webcast Series to hear insights, guidance and vision from some of our Watson leaders on Why, What and How cognitive APIs are being applied for business value and transformation.
In this episode, gain insight from an exec in the industry on WHAT innovative business strategies are facilitated with cognitive APIs.
Deploying Your Application on Bluemix in 4 Easy StepsIBM Watson
Watch the webinar replay: https://www.youtube.com/watch?v=omJpqVa-sxc
Whether you are prepping for your first hackathon or you’ve competed in many before, you know that the key to a successful hack depends on how quickly you can get your app coded to create that WOW factor to beat out your competition.
To get that edge and create that WOW factor, IBM is enabling developers to do this using IBM Bluemix and IBM Watson.
Hit the ground running at your next hackathon with our top tips and tricks to leverage Watson services on Bluemix from the experts!
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
Watson DevCon 2016 - The Future of Discovery: Deep Insights with Cognitive APIs
1. The Future of Discovery
Deep Insights via Cognitive APIs
Elliot Turner
November 9, 2016
2. 2
IBM’s statements regarding its plans, directions, and intent are subject to change or withdrawal without notice
and at IBM’s sole discretion.
Information regarding potential future products is intended to outline our general productdirection and it should
not be relied on in making a purchasing decision.
The information mentionedregarding potential future products is not a commitment, promise, or legal
obligation to deliver any material, code or functionality. Information about potential future products may not be
incorporated into any contract.
The development, release, and timing of any future features or functionality described for our products remains
at our sole discretion.
Performance is based on measurements and projections using standard IBM benchmarks in a controlled
environment. The actual throughput or performance that any user will experience will vary depending upon
many factors, including considerations such as the amount of multiprogramming in the user’s job stream,
the I/O configuration, the storage configuration, and the workloadprocessed. Therefore, no assurance can be
given that an individual user will achieve results similar to those stated here.
Please note
29. Construct knowledge graphs and
leverage integrated semantic search.
Integrated named entity and relationship extraction.
30. Correlate your internal data with the outside
world via pre-enriched news content.
Tens of thousands of sources. Hundreds of thousands of articles enriched daily. A finger on
the world’s pulse through news analytics.
31. We are at the beginning of
the Cognitive Era.
Watson Discovery Service
is available via the
Watson Developer Cloud.
Try it today!